Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.

Skills you'll gain: Model Evaluation, Forecasting, Trend Analysis, Statistical Visualization, Spreadsheet Software, Predictive Analytics, Regression Analysis, Time Series Analysis and Forecasting, Data Visualization, Statistical Analysis, Plot (Graphics), Data-Driven Decision-Making, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

28DIGITAL
Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Statistical Modeling, Probability, Algorithms, Probability Distribution
Intermediate · Course · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Data-Driven Decision-Making, Data Lakes, Analytics, Data Architecture, Data Warehousing, Data Management, Data Analysis, Big Data, Business Analytics, Data Storage, Amazon Web Services, Machine Learning, Data Strategy
Mixed · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Financial Statement Analysis, Mergers & Acquisitions, Corporate Accounting, Financial Modeling, Corporate Tax, Private Equity, Investment Banking, Financial Analysis, Corporate Finance, Tax, Financial Accounting, Accounting, Equities, Consolidation
Intermediate · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Computational Thinking, Data Analysis, C (Programming Language), Statistical Analysis, Programming Principles, Data Structures, Descriptive Statistics, Data Visualization Software
Beginner · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Feature Engineering, Autoencoders, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Machine Learning, Classification Algorithms, Deep Learning, Model Evaluation, Artificial Neural Networks, Dimensionality Reduction, Logistic Regression
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Minitab, Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Statistical Process Controls, Data-Driven Decision-Making, Process Improvement, Waste Minimization, Project Management, Continuous Improvement Process, Brainstorming, Process Mapping, Quality Assessment, Customer Insights, Sampling (Statistics), Data Collection
Beginner · Course · 3 - 6 Months

Universidade de São Paulo
Skills you'll gain: Network Analysis, Social Network Analysis, Data Visualization, Scientific Visualization, Graph Theory, Exploratory Data Analysis, Environmental Science, Data Analysis, R Programming, Data Science, Mathematical Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Forecasting, Time Series Analysis and Forecasting, Financial Forecasting, Trend Analysis, Predictive Modeling, Advanced Analytics, Statistical Analysis, Business Analytics, Data-Driven Decision-Making, Strategic Decision-Making, Market Data, Exploratory Data Analysis, Pandas (Python Package), Jupyter, Matplotlib, NumPy
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Hypothesis Testing, Logistic Regression, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Programming, Statistical Analysis, Statistical Methods, Regression Analysis, Probability & Statistics, Data Literacy, Data Science
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing, Python Programming
Beginner · Guided Project · Less Than 2 Hours

O.P. Jindal Global University
Skills you'll gain: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
Build toward a degree
Beginner · Course · 1 - 3 Months